Quantitaive Methods Midterm : Two variables People on Welfare vs. Poor People
This boxplot displays the 2008 Election Study regarding people on welfare.
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
Na's
0.00
40.00
50.00
56.73
70.00
100.00
276
Here this orange boxplot shows exactly what the table is displaying, feeling therometers of the topic of people on welfare. The boxplot tends to skew more towards the middle, and having a mean slightly over average. Perhaps this graph is saying that people do not think to highly nor low of people on welfare, but in fact int the middle.
(Nice use of captions. Although they'd be better side by side for comparison. Also, skew is a technical term that we (admittedly) haven't discussed too much, but refer to the book for a better explanation of that word means technically.)
This boxplot displays the 2008 Election Study regarding poor people.
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
Na's
0.00
60.00
70.00
74.55
96.25
100.00
266
Here this green boxplot shows exactly what the table is displaying, feeling therometers of the topic of poor people. However in this boxplot, unlike the one above, it skews higher with a mean way over the average. Maybe this graph is suggesting that people tend to have higher attitudes towards poor people than people on welfare.
Scatterplot displaying Welfare people v Poor people
This scatter plot shows the relationship between people on welfare and poor people, also it provides a line of best fit, which gives the viewer a better understanding of that relationship, rather it's positive or negative, strong or weak, or no relationship at all. Here, the graph is suggesting that maybe people feeling's towards people on welfare and poor people are positively correlated, perhaps thats people have similar viewpoints on the two subject matters.
Good work. Do you recall the function for calculating standard deviation? It's just sd(variablename) and that's it. You could have talked a little bit more about dispersion. Also, you should push yourself to give even more technically precise explanations of the math. But I like how you try to narrate the data.
(Nice use of captions. Although they'd be better side by side for comparison. Also, skew is a technical term that we (admittedly) haven't discussed too much, but refer to the book for a better explanation of that word means technically.)
This scatter plot shows the relationship between people on welfare and poor people, also it provides a line of best fit, which gives the viewer a better understanding of that relationship, rather it's positive or negative, strong or weak, or no relationship at all. Here, the graph is suggesting that maybe people feeling's towards people on welfare and poor people are positively correlated, perhaps thats people have similar viewpoints on the two subject matters.
Good work. Do you recall the function for calculating standard deviation? It's just sd(variablename) and that's it. You could have talked a little bit more about dispersion. Also, you should push yourself to give even more technically precise explanations of the math. But I like how you try to narrate the data.